A NIS-apriori based rule generator in prolog and its functionality for table data

Authors:
Hiroshi Sakai;Michinori Nakata;Dominik Ślęzak
Affiliations:
Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, Japan;Faculty of Management and Information Science, Josai International University, Togane, Chiba, Japan;Institute of Mathematics, University of Warsaw, Warsaw, Poland and Infobright Inc., Warsaw, Poland
Venue:
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Year:
2011

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Abstract

Rough Non-deterministic Information Analysis (RNIA) is a rough set based framework for handling several kinds of incomplete information. In our previous research on RNIA, we gave definitions according to two modal concepts, the certainty and the possibility, and thoroughly investigated their mathematical properties. For rule generation in RNIA, we proposed NIS-Apriori algorithm, which is an extended Apriori algorithm. Our previous implementation of NIS-Apriori in C suffered from a lack of clarity caused by difficulties in expressing non-deterministic information by procedural languages. Therefore, we recently decided to improve the algorithm's design and re-implement it in Prolog. This paper reports the current state of our algorithmic framework and outlines some new aspects of its functionality.